Funder
Javna Agencija za Raziskovalno Dejavnost RS
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference44 articles.
1. Learning from positive and unlabeled data: A survey;Bekker;Mach. Learn.,2020
2. Prodige: Prioritization of disease genes with multitask machine learning from positive and unlabeled examples;Mordelet;BMC Bioinform.,2011
3. Charles Elkan, Keith Noto, Learning classifiers from only positive and unlabeled data. In Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, 2008, pp. 213–220.
4. Yashu Liu, Shuang Qiu, Ping Zhang, Pinghua Gong, Fei Wang, Guoliang Xue, Jieping Ye, Computational drug discovery with dyadic positive-unlabeled learning. In Proceedings of the 2017 SIAM international conference on data mining. SIAM, 2017, pp. 45–53.
5. Yafeng Ren, Donghong Ji, Hongbin Zhang, Positive unlabeled learning for deceptive reviews detection. In Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), 2014, pp. 488–498.